DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning-Reference-Cited by-同舟云学术

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DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Shenavarmasouleh Farzan,Mohammadi Farid Ghareh,Amini M. Hadi,Arabnia Hamid R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9457837/9457560/09458158.pdf?arnumber=9458158

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications;PeerJ Computer Science;2023-09-26

2. Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier;Expert Systems with Applications;2023-05

3. Automated Clinical Assessment in Diabetic Retinopathy Retinal Images: A Review;2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE);2022-06-22

4. Internet of Things (IoT) in Healthcare: Applications, Challenges and Solutions;2021 International Conference on Computational Science and Computational Intelligence (CSCI);2021-12

5. DeepMSRF: A Novel Deep Multimodal Speaker Recognition Framework with Feature Selection;Advances in Computer Vision and Computational Biology;2021

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